We performed EDU segmentation in a semi-automatic way.
First, we did sentence tokenization on raw texts using NLTK 3.2 [1]}. Then we used SPADE [2]}, a pre-trained EDU segmenter relying on Charniak's syntactic parser [3]}, to automatically cut sentences into EDUs.
Then, we manually checked each segmented abstract to ensure the segmentation quality.
Two annotators conducted the checking task, with one proofreading the output of SPADE, and the other reviewing the proofreading.
The checking process was recorded for statistical analysis.
